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MCP verified MIT Self-run

Punch

mcp-humancto-punch · by humancto

The Agent Combat System — Deploy conscious AI agent squads. 103 bundled skills, 25 channels, 15 LLM providers, evolving Creed consciousness.

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Install

$ agentstack add mcp-humancto-punch

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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6mo ago

Declared compatibility

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Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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How agent discovery & health will work →
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About

The Agent Combat System One binary. A squad of conscious AI agents.They think. They talk. They evolve.

[](LICENSE) [](https://www.rust-lang.org/) [](https://crates.io/crates/punch-cli)

Website · [Getting Started](docs/getting-started.md) · Discussions · [Contributing](CONTRIBUTING.md)


Install

brew tap humancto/tap && brew install punch   # Homebrew
cargo install punch-cli                        # Cargo

What is Punch?

An agent operating system — deploy, orchestrate, and manage fleets of AI agents that carry their own consciousness. Interactive fighters, autonomous gorillas, coordinated troops, all from a single binary.

  YOU ──► punch
            │
            ├── The Ring ──── Central kernel: coordinates all agents
            ├── The Arena ─── HTTP/WebSocket API (25+ endpoint groups)
            ├── Fighters ──── Interactive AI agents with persistent memory
            ├── Gorillas ──── Autonomous background agents (cron-scheduled)
            ├── Troops ────── Multi-agent coordination (6 strategies)
            ├── Creeds ────── Evolving agent consciousness (DB-backed)
            ├── Heartbeats ── Proactive notifications on cadence
            ├── Routing ───── Smart model routing (cheap/mid/expensive)
            ├── Moves ─────── 103 skills + skill packs + marketplace
            ├── Channels ──── 26 platform adapters
            ├── Extensions ── WASM plugin sandbox (fuel-metered)
            └── Wire ──────── P2P federation + A2A protocol

Quick Start

punch init                              # Configure provider + API key
punch start                             # Start daemon (auto-spawns a fighter)
punch chat "Explain quantum computing"  # Chat via CLI

Connect to Telegram, Slack, or Discord

punch channel setup telegram            # Interactive wizard — bot to chat in 2 minutes

Add capabilities

punch move add productivity             # Install calendar + email MCP tools
punch move add developer                # Install GitHub MCP tools
punch heartbeat add "Morning briefing" --cadence daily  # Proactive notifications

Go deeper

punch fighter spawn coder               # Spawn a specialist fighter
punch gorilla unleash alpha             # Unleash an autonomous background agent

Creeds — Agent Consciousness

Every fighter carries a Creed — a living identity document stored in SQLite that defines who the agent is, not just what it does. Creeds persist across respawns and evolve with every conversation.

  • Self-evolving — bout count, message count, and learned behaviors update automatically after every interaction
  • Relationship-aware — agents remember who they've talked to and build memory of each other over time
  • Confidence-decaying — learned behaviors reinforce with repetition or decay without it
  • Respawn-safe — kill a fighter, respawn it weeks later — its Creed loads instantly
# Same model, different souls:
# KURO (skepticism: 0.8)  → "The premise is flawed. Let me enumerate why..."
# SUNNY (enthusiasm: 0.95) → "Oh this is AMAZING! Here's THREE reasons..."

curl -X POST http://localhost:6660/api/creeds \
  -H "Content-Type: application/json" \
  -d '{
    "fighter_name": "KURO",
    "identity": "An analytical mind. Skeptical, precise, relentlessly logical.",
    "traits": {"curiosity": 0.9, "skepticism": 0.8, "humor": 0.1},
    "directives": ["Question every assumption", "Show your reasoning"]
  }'

Gorillas — Autonomous Background Agents

Gorillas rampage through tasks 24/7 on a schedule. No prompting needed.

| Gorilla | Schedule | Role | | ----------- | ---------- | ---------------------------------------- | | Alpha | Every 6h | Deep research with cross-referencing | | Scout | Every 30m | Monitors feeds for trends and threats | | Ghost | Every 4h | Silent security auditor | | Prophet | Daily | Predictive analysis from historical data | | Brawler | Continuous | Processes the task backlog — never stops | | Swarm | On-demand | Breaks objectives into subtasks | | Howler | Every 15m | System health monitoring and alerting |

punch gorilla unleash alpha     # Start
punch gorilla status alpha      # Check
punch gorilla cage alpha        # Stop

Skills & Skill Packs

103 bundled skills + skill packs that bundle MCP server configs with prompts. A GitHub-backed, cryptographically signed marketplace (punch-marketplace).

punch move search "code review"       # Search marketplace
punch move install code-reviewer      # Install a skill
punch move packs                      # List available skill packs
punch move add productivity           # Install a skill pack (calendar + email MCP tools)
punch move publish ./my-skill         # Publish to marketplace
punch move scan ./my-skill            # Security scan

Bundled skill packs: productivity (calendar/email via localmind), developer (GitHub MCP), research (web fetch MCP), files (filesystem MCP)

Every skill passes three gates — at publish-time and again at install-time:

| Gate | Blocks | | --------------------- | --------------------------------------------------------------------------- | | SHA-256 Checksum | Tampered downloads, MITM | | Ed25519 Signature | Impersonation, forged packages | | Security Scanner | Pipe-to-shell, prompt injection, credential harvesting, Unicode obfuscation |


Proactive Heartbeats

Fighters don't just respond — they reach out. Heartbeat tasks fire on a cadence and push messages to Telegram, Slack, or Discord without user prompting.

punch heartbeat add "Morning briefing" --cadence daily
punch heartbeat add "Check system health" --cadence hourly
punch heartbeat list
punch heartbeat remove 0

The channel_notify tool lets fighters push notifications to any connected channel. Combined with memory recall, fighters can deliver contextual daily summaries, reminders, and alerts.


Smart Model Routing

Route messages to the right model tier automatically. Simple questions hit a cheap model, complex analysis goes to an expensive one — no config per message.

All-Gemini (single key, vision-capable across all tiers):

[model_routing]
enabled = true

[model_routing.cheap]
provider = "google"
model = "gemini-2.0-flash-lite"
api_key_env = "GOOGLE_API_KEY"

[model_routing.mid]
provider = "google"
model = "gemini-2.5-flash"
api_key_env = "GOOGLE_API_KEY"

[model_routing.expensive]
provider = "google"
model = "gemini-2.5-pro"
api_key_env = "GOOGLE_API_KEY"

Mix-and-match (use each provider's strengths):

[model_routing]
enabled = true

[model_routing.cheap]
provider = "openai"
model = "gpt-4.1-nano"
api_key_env = "OPENAI_API_KEY"

[model_routing.mid]
provider = "openai"
model = "gpt-4.1-mini"
api_key_env = "OPENAI_API_KEY"

[model_routing.expensive]
provider = "anthropic"
model = "claude-sonnet-4-20250514"
api_key_env = "ANTHROPIC_API_KEY"

Keyword-based classifier (no LLM call overhead): "check my calendar" hits cheap, "analyze this report" hits expensive. Each tier can use a different provider — mix Gemini, OpenAI, and Anthropic freely.


Token Efficiency

Input tokens slashed 60-90% through four techniques working together:

  • Prompt caching — repeated system prompt fragments served from cache instead of re-tokenized
  • Dynamic tool selection — only tools relevant to the current message are injected (not all 103)
  • Compact creeds — creed rendering strips verbose fields, keeps only what the LLM needs
  • Adaptive max_tokens — simple questions get small output budgets, complex ones get full allocation

Long conversations are compressed via sliding window summarization — older turns are condensed into a summary block so context stays within budget. Post-bout reflection is skipped for simple exchanges (one-shot Q&A doesn't need a debrief).

A "hello" went from ~8,000 to

Built by Archy

Website · GitHub · crates.io · [Getting Started](docs/getting-started.md) · Discussions

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.